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Make up application strategies for big data according to the institution risk preference and e-finance characteristics, provide data mining strategies and suggestions regarding widely accumulation and apply both internal and external data
Construct and optimize credit rating system of Internet credit product based on quantitative analysis results
Generate evaluation reports while analyzing business operation conditions periodically and aperiodically
Give advice on optimizing credit rating system constantly and adjusting credit risk policy dynamically
Implement product life cycle management, develop product competitiveness and make profit continuously while cut down the cost
Come up with new business exploration and model building based on internet development
Bachelor's degree or higher in Finance, Economy, Computer Science, Mathematics, Accountancy, Automation, Artificial Intelligence, cryptology or related field
2 years experience with data mining, model building or validation, experience in commercial bank, microcredit, consumer finance, automobile finance, and credit information or related filed is preferred
Be familiar with SPSS, SAS, R and other data analysis software, experience in artificial algorithm design is preferred
Have knowledge of financial policies and regulations, be familiar with basic credit risk management knowledge, be able to conduct qualitative and quantitative analyses regarding business operation circumstances and provide targeted suggestions
Be sensitive to data, have strong compressive ability, be able to communicate efficiently, cooperate with teams and do active learning